SOTAVerified

Inverse Rendering

Inverse Rendering is the task of recovering the properties of a scene, such as shape, material, and lighting, from an image or a video. The goal of inverse rendering is to determine the properties of a scene given an observation of it, and to generate new images or videos based on these properties.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 271 papers

TitleStatusHype
HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity—0
TextureSplat: Per-Primitive Texture Mapping for Reflective Gaussian SplattingCode0
Efficient multi-view training for 3D Gaussian Splatting—0
Neural Inverse Rendering from Propagating Light—0
LightLab: Controlling Light Sources in Images with Diffusion Models—0
TransparentGS: Fast Inverse Rendering of Transparent Objects with Gaussians—0
RGS-DR: Reflective Gaussian Surfels with Deferred Rendering for Shiny Objects—0
Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset—0
SVG-IR: Spatially-Varying Gaussian Splatting for Inverse RenderingCode1
3D Gaussian Inverse Rendering with Approximated Global Illumination—0
Learning 3D-Gaussian Simulators from RGB Videos—0
Locally Orderless Images for Optimization in Differentiable Rendering—0
TensoFlow: Tensorial Flow-based Sampler for Inverse RenderingCode1
BG-Triangle: Bézier Gaussian Triangle for 3D Vectorization and Rendering—0
Shadow Art Kanji: Inverse Rendering ApplicationCode0
Channel-wise Noise Scheduled Diffusion for Inverse Rendering in Indoor Scenes—0
GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling—0
SuperCarver: Texture-Consistent 3D Geometry Super-Resolution for High-Fidelity Surface Detail Generation—0
Vid2Avatar-Pro: Authentic Avatar from Videos in the Wild via Universal Prior—0
GlossGau: Efficient Inverse Rendering for Glossy Surface with Anisotropic Spherical Gaussian—0
Generative Detail Enhancement for Physically Based Materials—0
OMG: Opacity Matters in Material Modeling with Gaussian Splatting—0
NPSim: Nighttime Photorealistic Simulation From Daytime Images With Monocular Inverse Rendering and Ray Tracing—0
Multi-view 3D surface reconstruction from SAR images by inverse rendering—0
DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural-PBIRHDR-PSNR26.01—Unverified
2NVDiffRecMCHDR-PSNR24.43—Unverified
3InvRenderHDR-PSNR23.76—Unverified
4NeRFactorHDR-PSNR23.54—Unverified
5NeRDHDR-PSNR23.29—Unverified
6NVDiffRecHDR-PSNR22.91—Unverified
7PhySGHDR-PSNR21.81—Unverified